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, identification of biomarkers and haemostatic modifiers with multi-omics approaches, an AI-driven bleeding prediction model, and a cost-effective algorithm for bleeding evaluation. All BDUC patients registered
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Intelligence (AI) and machine learning (ML) techniques. You will develop AI-based predictive models to anticipate user engagement, primarily using data collected through unobtrusive measurements (e.g., websites
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Advanced Grant project FLOW. This project investigates the functional roles of brain oscillations for human cognition (attention, memory, cognitive control), explores how brain and body rhythms interact
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on the magnitude and key hotspots of the problem, given the current limited evidence, and (2) to gain insight into how this problem can be effectively addressed. Research activities include environmental monitoring
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interdependently on a common goal. The current project applies both laboratory and field study designs to investigate how such multi-team systems adapt to unexpected events. Thereby we specifically focus on the role